多尺度空间数据索引方法研究

以多尺度空间数据为研究对象,讨论其混合索引结构的建立方法。对于多尺度矢量空间数据提出基于多层次网格与R 树混合索引结构,栅格数据进行分块并建立四叉树索引结构。利用双向链表结构连接同尺度下的矢栅空间数据,实现矢栅之间的无缝转化;并用地理数据编码及双向链表结构连接不同尺度下的同一空间对象,实现多尺度空间对象的纵向无缝连接。进而实现多尺度空间数据的快速可视化及空间对象的纵向无缝查询。

Analysis on multi-scale spatial data index structure

Based on multi-scale spatial data,this Paper discusses the established method of multi-scale spatial data mixed-indexing structure.It proposes the mixed-indexing structure based on multi level grid and R tree for multi-scale spatial vector data,and creates blocks and builds Quadtree Index structure for raster data.The vector-to-raster spatial data with the same scale is connected with the double linked list structure to realize the seamless connection of multi-scale spatial objects in vertical.Then it carries out fast visualization for multi-scale spatial data and seamless query in vertical for spatial objects.